EverQuote Stock Forecast - 4 Period Moving Average

EVER Stock  USD 18.75  0.47  2.57%   
The 4 Period Moving Average forecasted value of EverQuote Class A on the next trading day is expected to be 18.52 with a mean absolute deviation of  0.72  and the sum of the absolute errors of 41.56. EverQuote Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast EverQuote stock prices and determine the direction of EverQuote Class A's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of EverQuote's historical fundamentals, such as revenue growth or operating cash flow patterns. Although EverQuote's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of EverQuote's systematic risk associated with finding meaningful patterns of EverQuote fundamentals over time.
Check out Historical Fundamental Analysis of EverQuote to cross-verify your projections.
  
At this time, EverQuote's Payables Turnover is relatively stable compared to the past year. As of 03/28/2024, Fixed Asset Turnover is likely to grow to 44.25, while Inventory Turnover is likely to drop (3.11). . As of 03/28/2024, Common Stock Shares Outstanding is likely to drop to about 26.5 M. In addition to that, Net Loss is likely to grow to about (20.9 M).

Open Interest Against 2024-04-19 EverQuote Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast EverQuote's spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in EverQuote's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for EverQuote stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current EverQuote's open interest, investors have to compare it to EverQuote's spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of EverQuote is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in EverQuote. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
Most investors in EverQuote cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the EverQuote's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets EverQuote's price structures and extracts relationships that further increase the generated results' accuracy.
A four-period moving average forecast model for EverQuote Class A is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.

EverQuote 4 Period Moving Average Price Forecast For the 29th of March

Given 90 days horizon, the 4 Period Moving Average forecasted value of EverQuote Class A on the next trading day is expected to be 18.52 with a mean absolute deviation of 0.72, mean absolute percentage error of 0.79, and the sum of the absolute errors of 41.56.
Please note that although there have been many attempts to predict EverQuote Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that EverQuote's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

EverQuote Stock Forecast Pattern

Backtest EverQuoteEverQuote Price PredictionBuy or Sell Advice 

EverQuote Forecasted Value

In the context of forecasting EverQuote's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. EverQuote's downside and upside margins for the forecasting period are 14.79 and 22.24, respectively. We have considered EverQuote's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
18.75
18.52
Expected Value
22.24
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of EverQuote stock data series using in forecasting. Note that when a statistical model is used to represent EverQuote stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.
AICAkaike Information Criteria112.3581
BiasArithmetic mean of the errors -0.2972
MADMean absolute deviation0.7165
MAPEMean absolute percentage error0.0473
SAESum of the absolute errors41.5575
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of EverQuote. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for EverQuote Class A and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for EverQuote

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as EverQuote Class A. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of EverQuote's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
15.9719.7023.43
Details
Intrinsic
Valuation
LowRealHigh
9.1512.8820.63
Details
Bollinger
Band Projection (param)
LowMiddleHigh
18.0018.4418.88
Details
7 Analysts
Consensus
LowTargetHigh
7.968.759.71
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as EverQuote. Your research has to be compared to or analyzed against EverQuote's peers to derive any actionable benefits. When done correctly, EverQuote's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in EverQuote Class A.

Other Forecasting Options for EverQuote

For every potential investor in EverQuote, whether a beginner or expert, EverQuote's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. EverQuote Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in EverQuote. Basic forecasting techniques help filter out the noise by identifying EverQuote's price trends.

EverQuote Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with EverQuote stock to make a market-neutral strategy. Peer analysis of EverQuote could also be used in its relative valuation, which is a method of valuing EverQuote by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

EverQuote Class A Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of EverQuote's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of EverQuote's current price.

EverQuote Market Strength Events

Market strength indicators help investors to evaluate how EverQuote stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading EverQuote shares will generate the highest return on investment. By undertsting and applying EverQuote stock market strength indicators, traders can identify EverQuote Class A entry and exit signals to maximize returns.

EverQuote Risk Indicators

The analysis of EverQuote's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in EverQuote's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting everquote stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards EverQuote in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, EverQuote's short interest history, or implied volatility extrapolated from EverQuote options trading.

Pair Trading with EverQuote

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if EverQuote position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in EverQuote will appreciate offsetting losses from the drop in the long position's value.

Moving against EverQuote Stock

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The ability to find closely correlated positions to EverQuote could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace EverQuote when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back EverQuote - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling EverQuote Class A to buy it.
The correlation of EverQuote is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as EverQuote moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if EverQuote Class A moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for EverQuote can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching
When determining whether EverQuote Class A is a strong investment it is important to analyze EverQuote's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact EverQuote's future performance. For an informed investment choice regarding EverQuote Stock, refer to the following important reports:
Check out Historical Fundamental Analysis of EverQuote to cross-verify your projections.
Note that the EverQuote Class A information on this page should be used as a complementary analysis to other EverQuote's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.

Complementary Tools for EverQuote Stock analysis

When running EverQuote's price analysis, check to measure EverQuote's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy EverQuote is operating at the current time. Most of EverQuote's value examination focuses on studying past and present price action to predict the probability of EverQuote's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move EverQuote's price. Additionally, you may evaluate how the addition of EverQuote to your portfolios can decrease your overall portfolio volatility.
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Is EverQuote's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of EverQuote. If investors know EverQuote will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about EverQuote listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share
(1.54)
Revenue Per Share
8.633
Quarterly Revenue Growth
(0.37)
Return On Assets
(0.13)
Return On Equity
(0.54)
The market value of EverQuote Class A is measured differently than its book value, which is the value of EverQuote that is recorded on the company's balance sheet. Investors also form their own opinion of EverQuote's value that differs from its market value or its book value, called intrinsic value, which is EverQuote's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because EverQuote's market value can be influenced by many factors that don't directly affect EverQuote's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between EverQuote's value and its price as these two are different measures arrived at by different means. Investors typically determine if EverQuote is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, EverQuote's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.